Solving scheduling problems in a multi-stage multi-product batch pharmaceutical industry

Artículo

Autoría

Kopanos, Georgios ; MENDEZ, CARLOS ALBERTO ; Puigjaner, Luis

Fecha

2010

Editorial y Lugar de Edición

AIDIC Servizi

Revista

Chemical Engineering Transactions, vol. 21 (pp. 511-516) - ISSN 1974-9791
AIDIC Servizi

ISSN

1974-9791

Resumen Información suministrada por el agente en SIGEVA

An iterative two-stage decomposition solution strategy for solving real-world scheduling problems in multi-stage multi-product batch plants is presented. The proposed method has as a core a mixed integer mathematical model, and consists of a constructive step, wherein a feasible and good solution is rapidly generated by following some insertion criteria, and an improvement step, wherein the initial solution is systematically enhanced by adopting several rescheduling techniques. The proposed str... An iterative two-stage decomposition solution strategy for solving real-world scheduling problems in multi-stage multi-product batch plants is presented. The proposed method has as a core a mixed integer mathematical model, and consists of a constructive step, wherein a feasible and good solution is rapidly generated by following some insertion criteria, and an improvement step, wherein the initial solution is systematically enhanced by adopting several rescheduling techniques. The proposed strategy performance is tested on a number of problem instances of a complicated real-world multi-stage multi-product pharmaceuticals scheduling problem. High quality solutions are reported within reasonable computational time.

Ver más Ver menos

Palabras Clave

Multi-stage Multi-product batch processMILP-based approachPharmaceutical IndustryReal-world Scheduling problemsTwo-stage Decomposition Strategy

Descargue o solicite el texto completo

http://hdl.handle.net/11336/13749